FIND. EXTRACT. PREDICT.
The need for alternative evaluation methods that can effectively assess the completeness, reliability and relevance of scientific papers is a pressing topic within the research community. While scientists common... read more
The development of transformer-based machine learning models has given rise to a new interest in images processing followed by creating of AI tools for optical chemical structure recognition (OCSR).
Summarized from the article authored by Hélène Draux, Mihai Gherghe, and Juergen Wastl.
The shift towards sustainable ... read more
By Mihai Gherghe and Misha Kidambi.
In 2006, mathematician and data scientist Clive Humby gave a talk at a conference where he reportedly used the phrase “read more
OntoChem has contibuted a presentation on its efforts to identify and extract novel biomarkers to the 9th Annual Scientific Computing Days of the FDA.
this talk was part of the “Chemoiformatics for One Health” breakout sessio... read more
OntoChem is now indexing >400 million public documents with semantic ontology concepts from over 35 knowledge domains using FAIR concept identifiers. For example, an ontology concept identifier (OCID) is assigned to each chemical compound, r... read more
Have a look at our latest talk we gave together with Google and Collabra at the ACS Spring Meeting 2021 about “Synergy through integration of data sources”.
It isn’t self-evident that access to open-source data comes for ... read more
The “Structured Product Labeling” (SPL) files of the United States FDA are a valuable public ressource for drugs on the market. Thus, UNII (Unique Ingredient Identifier) numbers are assigned to each drug and its chemical structure i... read more
We gave a virtual presentation about SciWalker and SciWalker Studio as integrated tools for chemistry-focused semantic knowledge extraction as part of the BioData World Congress 2020 (that would have taken place in Basel were it not for the COV... read more